Role of radiomics in predicting lung cancer spread through air spaces in a heterogeneous dataset-Reference-Cited by-同舟云学术

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Role of radiomics in predicting lung cancer spread through air spaces in a heterogeneous dataset

Published:2022-04 Issue:4 Volume:11 Page:560-571
ISSN:2218-6751
Container-title:Translational Lung Cancer Research
language:
Short-container-title:Transl Lung Cancer Res

Author:

Bassi Massimiliano,Russomando Andrea,Vannucci Jacopo,Ciardiello Andrea,Dolciami Miriam,Ricci Paolo,Pernazza Angelina,D’Amati Giulia,Mancini Terracciano Carlo,Faccini Riccardo,Mantovani Sara,Venuta Federico,Voena Cecilia,Anile Marco

Publisher

AME Publishing Company

Subject

Oncology

Link

https://tlcr.amegroups.com/article/download/62298/pdf

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting histopathological features of aggressiveness in lung cancer using CT radiomics: a systematic review;Clinical Radiology;2024-09

2. Established the prediction model of early‐stage non‐small cell lung cancer spread through air spaces (STAS) by radiomics and genomics features;Asia-Pacific Journal of Clinical Oncology;2024-07

3. United Predictability of CT radiomics on invasive pathological features in clinical stage IA-IIA non-small cell lung cancer: a double-center study;2024-06-14

4. Deep Learning Analysis for Predicting Tumor Spread through Air Space in Early-Stage Lung Adenocarcinoma Pathology Images;Cancers;2024-06-03

5. Improving intraoperative diagnosis of spread through air spaces: A cryo-embedding-medium inflation method for frozen section analysis;JTCVS Techniques;2024-06

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